What are the hardware requirements for Gemma 2B Chat?

Gemma 2B Chat requires approximately 5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Chat and how large is it?

Gemma 2B Chat is developed by Menouar, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2B Chat perform on standard benchmarks?

Gemma 2B Chat has the following published scores: MMLU 39.81. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2B Chat by Menouar — VRAM 5GB, 8K context

Name: Gemma 2B Chat
Author: Menouar

Gemma 2B Chat is an open-source language model by Menouar. Features: 2b LLM, VRAM: 5GB, Context: 8K, License: other, LLM Explorer Score: 0.15, Arc: 48.7, HellaSwag: 70.3, MMLU: 39.8, GSM8K: 14.3.

Base model:finetune:google/gem... Base model:google/gemma-2b Conversational Dataset:huggingfaceh4/deita-10... En Endpoints compatible Gemma Generated from trainer Google/gemma Peft Pytorch Region:us Safetensors Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/Menouar/gemma-2b-chat

Gemma 2B Chat Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

HuggingFaceH4/deita-10k-v0-sft

Methodology:

SFTTrainer

LLM Name	Gemma 2B Chat
Repository 🤗	https://huggingface.co/Menouar/gemma-2b-chat
Base Model(s)	Gemma 2B google/gemma-2b
Model Size	2b
Required VRAM	5 GB
Updated	2026-07-20
Maintainer	Menouar
Model Type	gemma
Model Files	1.9 GB: 1-of-3 2.0 GB: 2-of-3 1.1 GB: 3-of-3
Supported Languages	en
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 2B Chat capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Gemma 2B Chat

Model	Likes	Downloads	VRAM
Gemma 2B T	0	28	5 GB

Best Alternatives to Gemma 2B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 2B It	8K / 5.1 GB	209209	173
Gemma 2B It	8K / 5 GB	16802	3
Gemma 1.1 2B It	8K / 5 GB	43	3
Gemma 2B It Peru Legal Es V2	8K / 5.1 GB	8	1
Codegemma 2B	8K / 5.1 GB	33091	101
Bge Reranker V2 Gemma	8K / 10 GB	261121	87
Gita SastraGPT V1	8K / 5.1 GB	4	1
Caca Tinny 2B V3	8K / 5.1 GB	4	1
Pandas Tutor Gemma 2B	8K / 5.1 GB	6	1
Gemma Qlora Customer Support	8K / 5.1 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Menouar/gemma-2b-chat.